A new 2D-tiled detector for multislice CT

Luhta, Randy P.; Chappo, Marc; Harwood, Brian; Mattson, Rod; Salk, Dave; Vrettos, Chris

doi:10.1117/12.653245

Cited by 24 publications

(19 citation statements)

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“…with σ e assumed to be 4800 e − , a value measured from a CT prototype scanner by Luhta et al [34]. The resulting relative mAs for the EI system including electronic noise are plotted by crosses in Fig.12.…”

Section: Discussionmentioning

confidence: 99%

“…λ 2 is the factor describing the probability of light quanta being lost during transportation, including the coupling efficiency of light escaping from detector materials and the optical quantum efficiency of photodiodes. Since the values of λ 2 for commercial CT scanners are not available in present literatures, we determined λ 2 to be 0.5, a value derived from the data measured by Luhta et al [34] on a CT prototype, By applying the same CT geometry as used for the PCS system, the reference detectability index d 2 ref as defined in section 2.2 is calculated using an adult soft-tissue phantom (30 cm in diameter) and a typical adult procedure (120 kVp and 200 mAs). In the study, we also calculate the detectability indexes resulting from the modeled EI system for the investigated pediatric phantoms and compare to those obtained from the PCS system.…”

Section: Theoretical Model Of Energy-integrating Systemmentioning

confidence: 99%

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Size-dependent scanning parameters (kVp and mAs) for photon-counting spectral CT system in pediatric imaging: simulation study

2016

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We are developing a photon-counting spectral CT detector with small pixel size of 0.4×0.5 mm 2 , offering a potential advantage for better visualization of small structures in pediatric patients. The purpose of this study is to determine the patient size dependent scanning parameters (kVp and mAs) for pediatric CT in two imaging cases: adipose imaging and iodinated blood imaging.Cylindrical soft-tissue phantoms of diameters between 10-25 cm were used to mimic patients of different ages from 0-15 y. For adipose imaging, a 5-mm-diameter adipose sphere was assumed as an imaging target, while an iodinated blood sphere of 1 mm in diameter was assumed in the case of iodinated imaging. By applying the geometry of a commercial CT scanner (GE LightSpeed VCT), simulations were carried out to calculate the detectability index, d2 , with tube potentials varying from 40 to 140 kVp. The optimal kVp for each phantom in each imaging case was determined such that the dosenormalized detectability index, d2 /dose, is maximized. With the assumption that image quality in pediatric imaging is required the same as in typical adult imaging, the value of mAs at optimal kVp for each phantom was selected to achieve a reference detectability index that was obtained by scanning an adult phantom (30 cm in diameter) in a typical adult CT procedure (120 kVp and 200 mAs) using a modeled energy-integrating system.For adipose imaging, the optimal kVps are 50, 60, 80, and 120 kVp, respectively, for phantoms of 10, 15, 20, and 25-cm in diameter. The corresponding mAs values required to achieve the reference detectability index are only 9%, 23%, 24%, and 54% of the mAs that is used for adult patients at 120 kVp, for 10, 15, 20, and 25-cm-diameter phantoms, respectively. In the case of iodinated imaging, a tube potential of 60 kVp was found optimal for all phantoms investigated, and the mAs values required to achieve the reference detectability index are 2%, 9%, 37%, and 109% of the adult mAs. The results also indicate that with the use of respective optimal kVps, the photon-counting spectral system offers up to 30% higher d 2 /dose than the modeled energy-integrating system for adipose imaging, and 70% for iodinated imaging.

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Section: Discussionmentioning

confidence: 99%

Section: Theoretical Model Of Energy-integrating Systemmentioning

confidence: 99%

Size-dependent scanning parameters (kVp and mAs) for photon-counting spectral CT system in pediatric imaging: simulation study

2016

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“…However, one can verify that the motion contamination can be suppressed below an acceptable level. For example, let us consider a CT scanner with its data frame rate of 5000 fps 8 and 2 rps of the gantry. The scanner actually spends less than 0.2 msec for the data acquisition of a single frame in this case.…”

Section: Discussionmentioning

confidence: 99%

Feasibility study on many-view under-sampling technique for low-dose computed tomography

et al. 2012

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Abstract. We proposed a novel scanning method for low-dose computed tomography (CT) that uses an oscillating multi-slit collimator between the x-ray source and the patient. It can be thought as a realization of sparse data sampling that does not require a fast x-ray power switching. A simulation study was performed based on experimentally acquired microCT data of a mouse to demonstrate the feasibility of the proposed method. A numerical collimation was designed to leave only one-fourth of each projection data for use in image reconstruction. A total-variation minimization algorithm was implemented for image reconstruction from the sparely sampled data. We have successfully shown that the proposed method provides a viable option to low-dose CT.

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“…These limitations have been discussed in Refs. [3][4][5][6], and accordingly two methods have been reported to overcome the problems so far. The first solution is the back-illuminated photodiode (BIP) method [3,4], which has the drawbacks in the fabrication and operation.…”

Section: Introductionmentioning

confidence: 98%

Via-in-pixel design of truly 2D extendable photodiode detector for medical CT imaging

Fan¹,

Kalliopuska

Eränen

et al. 2008

Sensors and Actuators A: Physical

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A new 2D-tiled detector for multislice CT

Cited by 24 publications

References 0 publications

Size-dependent scanning parameters (kVp and mAs) for photon-counting spectral CT system in pediatric imaging: simulation study

Size-dependent scanning parameters (kVp and mAs) for photon-counting spectral CT system in pediatric imaging: simulation study

Feasibility study on many-view under-sampling technique for low-dose computed tomography

Via-in-pixel design of truly 2D extendable photodiode detector for medical CT imaging

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